Show/Hide Menu
Hide/Show Apps
anonymousUser
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Frequently Asked Questions
Frequently Asked Questions
Communities & Collections
Communities & Collections
Applying Computational Aesthetics to a Video Game Application Using Machine Learning
Date
2016-07-01
Author
ERDEM, Ali Naci
Halıcı, Uğur
Metadata
Show full item record
This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
Item Usage Stats
4
views
0
downloads
The authors have developed a novel approach to evaluating the aesthetic quality of the camera direction in video game scenes rendered in real time while the game is being played. Their goal was to improve the visual aesthetic quality of computer-generated images using a computational aesthetics approach via a regression machine learning model. Considering the challenges and limitations involved, the proposed approach yielded promising prediction performance. The results show that near-real-time aesthetic analysis and visual improvement is possible using a virtual camera director.
Subject Keywords
Computer Graphics
,
Quality Assessment
,
Machine Learning
,
Computational Aesthetics
,
Regression Machine Learning
,
Aesthetic Analysis
,
Video Games
URI
https://hdl.handle.net/11511/40556
Journal
IEEE COMPUTER GRAPHICS AND APPLICATIONS
DOI
https://doi.org/10.1109/mcg.2016.43
Collections
Department of Electrical and Electronics Engineering, Article